seaborn多子图绘制(箱线图+点图）.附有表格格式

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as pl
导入数据
df = pd.read_excel(r'E:\XY\hhly1\clean\hhly1\Alphy/alphy.xlsx')
设置风格
sns.set_theme(style='ticks',font='Times New Roman')
绘制多子图
g=sns.FacetGrid(df,col='index',col_wrap=2,sharey=None)
追加子图图片内容
g.map_dataframe(sns.boxplot,y='alpha',x='index',hue = "index",saturation=1,palette="light:#5A9")
g.map_dataframe(sns.stripplot,y='alpha',x='index',hue = "index")
plt.savefig(r'E:\XY\hhly1\clean\hhly1\Alphy/alpha1.png',dpi=300,)
plt.show()

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt 
df1 = pd.read_excel(r'E:\XY\hhly1\clean\hhly1\Alphy/coverage.xlsx')


plt.figure(dpi=300,figsize=(17,4))
# plt.rc('font',family='Times New Roman') 
sns.set_theme(style='ticks',font='Times New Roman')
sns.boxplot(x = 'goods_coverage',data = df1,saturation=1,palette="light:#5A9")
sns.stripplot(x ='goods_coverage', data=df1,color='black')
plt.savefig(r'E:\XY\hhly1\clean\hhly1\Alphy/coverage1.png',dpi=300,)
plt.show()